Experiment 9: The Same Paramters as in 7.18
Date: Sun Apr 17 21:25:29 2016
Analysis version (challprop-analytics): {analysis_commitNo}
Experiment version (challprop-experiments): 5ba74bfc
Codebase version (challprop-java): 64aa0a2b
(use git checkout $commit$ if needed)
Basic Statistics
These very roughly characterize what kind of data structure we get out of simulation.
##
## NUMBER OF VERTIXES:
## situation=2250
## benefitHolder=14643
## situationInst=16893
## agent=100
## god=1
##
## NUMBER OF EDGES:
## knowsLinks=1960
## challenged=57709
## interpreted=57457
## buffered=41616
## processed=14643
## reinterpreted=14643
## forgot=19880
##
## PERFORMANCE:
## Number of atomic events: 205948
## Total simulation time (secs): 758.5671155410
## Total simulation time (hours): 0.2107130877
## Average time per atomic event (secs): 0.0036832944Dynamics of benefit
##
## AVERAGE TOTAL BENEFIT:
## 2620.26230653
##
## AVERAGE BENEFIT:
## [:]Average benefit
## Warning: closing unused connection 6 (code.version)
Average benefit change per unit of time
Link distribution
Processes per agent
| eventsPerAgent | |
|---|---|
| originalChallenges | 22.50 |
| challenged | 577.09 |
| interpreted | 574.57 |
| buffered | 416.16 |
| processed | 146.43 |
| penalized | 574.57 |
| benefitted | 146.43 |
| forgot | 198.80 |
| reinterpreted | 146.43 |
Distribution of original challenges
## The number of original challenges in the simulation: 2250
Distribution of all challenges
## Total number of all challenges in the simulation: 57709
Distribution of processed challenges
## Total number of all processed challenges in the simulation: 14643
Degree distribution
## Total number of outDegrees: 1960
Link weights
The number of links between agents in the graph: 1960; The average degree 0.65); The average link weight is 16.12.
## 1% 10% 20% 30% 50% 70%
## -21.687477 -3.035834 -0.972594 -0.452857 -0.067395 10.669672
## 90% 99%
## 64.780228 146.7448560.5311224 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows the distribution:
Full simulation parameters
## $pathOnDisk
## [1] "/media/data/challprop-working/eln/"
##
## $generateTestDataOnDisk
## [1] "false"
##
## $tempConfigFile
## [1] "/media/challprop-working/temp/challprop.conf"
##
## $test
## [1] "false"
##
## $graphDatabase
## [1] "TitanCassandraLocal"
##
## $gephiVisualization
## [1] "false"
##
## $useDatabaseOfVectors
## [1] "true"
##
## $useDatabaseOfMatrixes
## [1] "true"
##
## $penaltyCalculatedOnlyOnce
## [1] "false"
##
## $rivalComponents
## [1] "[0, 1, 2, 3, 4]"
##
## $cstSituation
## [1] "0.05"
##
## $densityVectorSituation
## [1] "0.25"
##
## $percnegSituation
## [1] "0.2"
##
## $exponentSituation
## [1] "2"
##
## $numberOfAgents
## [1] "100"
##
## $decayFactor
## [1] "1"
##
## $decayRate
## [1] "0.03"
##
## $reciprocityRate
## [1] "0.2"
##
## $linkToGodWeight
## [1] "1.0"
##
## $weightImportance
## [1] "0.2"
##
## $believe
## [1] "0.15"
##
## $propagateRate
## [1] "0.4"
##
## $dimensions
## [1] "10"
##
## $densityMatrix
## [1] "0.5"
##
## $rfactor
## [1] "0.5"
##
## $numberOfCycles
## [1] "150"
##
## $learningRate
## [1] "0.3"
##
## $randomJump
## [1] "50"
##
## $propagationThreshold
## [1] "0"
##
## $disableRandomJump
## [1] "false"
##
## $maxBranchingFactor
## [1] "1000"
##
## $respectKnowsLinksWeights
## [1] "true"
##
## $bufferSize
## [1] "10"
##
## $ignoreNonRivalCorrection
## [1] "false"
##
## $cstNeed
## [1] "0.05"
##
## $densityVectorNeed
## [1] "0.5"
##
## $percnegNeed
## [1] "0.5"
##
## $exponentNeed
## [1] "2"
##
## $simulationStartWall
## [1] "1071318778045"
##
## $simulationStartCPU
## [1] "1120508899"
##
## $simulationFinishWall
## [1] "1829885893586"
##
## $simulationFinishCPU
## [1] "657651583398"
##
## $archivingFinishedWall
## [1] "1875500266989"
##
## $archivingFinishedCPU
## [1] "677845561554"
##
## $deletingCassandraWall
## [1] "1875520819576"
##
## $deletingCassandraCPU
## [1] "677863881816"Scenario 8 (More Generations): 2 Experiments With Different Learning Rates
Experiment 8.1
Time: 2016-04-15 16:00:28
Commit: 0e5134c2af678ddd626cce6e44d98086a9089981
Parameters
learningRate : 0.3
randomJump : 1
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 300
numberOfAgents : 150
bufferSize : 10
Benefit per unit of time
Experiment 8.2
Time: 2016-04-15 17:12:13
Commit: ff447f5b291c44063eec67a197b19afdba504578
Link to full reportParameters
learningRate : 0.5
randomJump : 1
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 300
numberOfAgents : 150
bufferSize : 10
Benefit per unit of time
</div>
</body> </html>
Scenario 7: 24 Experiments Exploring Parameter Space
- Experiment 7.1
- Experiment 7.2
- Experiment 7.3
- Experiment 7.4
- Experiment 7.5
- Experiment 7.6
- Experiment 7.7
- Experiment 7.8
- Experiment 7.9
- Experiment 7.10
- Experiment 7.11
- Experiment 7.12
- Experiment 7.13
- Experiment 7.14
- Experiment 7.15
- Experiment 7.16
- Experiment 7.17
- Experiment 7.18
- Experiment 7.19
- Experiment 7.20
- Experiment 7.21
- Experiment 7.22
- Experiment 7.23
- Experiment 7.24
Experiment 7.1
Time: 2016-04-14 16:50:29
Commit: 0883dc6cbc273500d66c67227c6143182413fa55
Parameters
learningRate : 0.3
randomJump : 1
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.2
Time: 2016-04-14 19:24:49
Commit: 159e2da6c706aa2588955bc033b7aea7dc1e9ecc
Parameters
learningRate : 0.1
randomJump : 99
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.3
Time: 2016-04-14 20:31:15
Commit: 17d8194b65477a2c95a69d5fffa6491fcc391d82
Parameters
learningRate : 0.1
randomJump : 50
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.4
Time: 2016-04-14 18:16:04
Commit: 186e78a5ad721baac67496a49fe1e6c146f197bc
Parameters
learningRate : 0.1
randomJump : 1
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.5
Time: 2016-04-14 14:53:37
Commit: 26c5cbd7b38ec4baaf89a13cd2bdc217d6a0b836
Parameters
learningRate : 0.1
randomJump : 1
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.6
Time: 2016-04-14 15:28:44
Commit: 27ce18d5d7dac9cf5cf2d4be2c6da3376c598f16
Parameters
learningRate : 0.1
randomJump : 50
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.7
Time: 2016-04-14 19:41:51
Commit: 3226c69f03155d7baaf16718d63db25874ad70d6
Parameters
learningRate : 0.3
randomJump : 99
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.8
Time: 2016-04-14 15:58:20
Commit: 37e6f3861beadb8ea49161a5e16b9335cdab29ed
Parameters
learningRate : 0.1
randomJump : 99
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.9
Time: 2016-04-14 18:50:20
Commit: 3b875d850fb0e8dd7985a098dd7b13553139a070
Parameters
learningRate : 0.1
randomJump : 50
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.10
Time: 2016-04-14 16:14:45
Commit: 5f60873edb355644532dacc21f93dd2fb39b38ea
Parameters
learningRate : 0.3
randomJump : 99
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.11
Time: 2016-04-14 20:48:18
Commit: 7a59ad17fdf061d8ddaced90f71631e987e54524
Parameters
learningRate : 0.3
randomJump : 50
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.12
Time: 2016-04-14 15:41:25
Commit: 7d91669c2cbb094bab697f49bf4342c4a1a60476
Parameters
learningRate : 0.3
randomJump : 50
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.13
Time: 2016-04-14 21:23:09
Commit: 8a13707ad3055fad270c65049f3900b16d6a3009
Parameters
learningRate : 0.3
randomJump : 99
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.14
Time: 2016-04-14 17:58:19
Commit: 8c1e25edfd60117b4b7cd7ea175eb78a5b89d414
Parameters
learningRate : 0.3
randomJump : 99
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.15
Time: 2016-04-14 15:10:30
Commit: 9cdc90324e6ac7072e64557230c1d6fd0e7483d6
Parameters
learningRate : 0.3
randomJump : 1
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.16
Time: 2016-04-14 21:05:01
Commit: a71d39875ba0c1ad5a6b95ddbb19b479119d3161
Parameters
learningRate : 0.1
randomJump : 99
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.17
Time: 2016-04-14 17:06:24
Commit: bffb1423ade37619d965b5e3c836010242a6ed2d
Parameters
learningRate : 0.1
randomJump : 50
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.18
Time: 2016-04-14 17:27:02
Commit: c5350ce3ad8fe6d21e6926665624583793452c25
Link to full reportParameters
learningRate : 0.3
randomJump : 50
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.19
Time: 2016-04-14 18:32:37
Commit: d8fa57941f047b3cf30aa65287563e85e9e5ab2c
Link to full reportParameters
learningRate : 0.3
randomJump : 1
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.20
Time: 2016-04-14 16:30:11
Commit: dbe54ab9506c7d64a302c18e292d5e299113fb43
Parameters
learningRate : 0.1
randomJump : 1
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.21
Time: 2016-04-14 17:40:14
Commit: e7b49c0a2e89b87aecacf1eb7353760aa994e81c
Parameters
learningRate : 0.1
randomJump : 99
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : true
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.22
Time: 2016-04-14 19:07:48
Commit: ead43d435f9a5354c2167a315724eac906e36adb
Parameters
learningRate : 0.3
randomJump : 50
penaltyCalculatedOnlyOnce : true
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.23
Time: 2016-04-14 19:59:24
Commit: ef53c75162f1a1894493a4c580316debd2281dcd
Parameters
learningRate : 0.1
randomJump : 1
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
Experiment 7.24
Time: 2016-04-14 20:15:54
Commit: f4277af13f988ec185ca5823f868e8e0e9682975
Parameters
learningRate : 0.3
randomJump : 1
penaltyCalculatedOnlyOnce : false
respectKnowsLinksWeights : false
believe : 0.15
numberOfCycles : 150
numberOfAgents : 100
bufferSize : 10
Benefit per unit of time
</div>
</body> </html>
Experiment 8.2
Date: Sat Apr 16 02:38:12 2016
Analysis version (challprop-analytics): {analysis_commitNo}
Experiment version (challprop-experiments): ff447f5b
Codebase version (challprop-java): 64aa0a2b
(use git checkout $commit$ if needed)
Basic Statistics
These very roughly characterize what kind of data structure we get out of simulation.
##
## NUMBER OF VERTIXES:
## situation=6600
## benefitHolder=44428
## situationInst=51028
## agent=150
## god=1
##
## NUMBER OF EDGES:
## knowsLinks=3086
## challenged=193056
## interpreted=192630
## buffered=124594
## processed=44428
## reinterpreted=44428
## forgot=63475
##
## PERFORMANCE:
## Number of atomic events: 662611
## Total simulation time (secs): 3751.9676377800
## Total simulation time (hours): 1.0422132327
## Average time per atomic event (secs): 0.0056623987Dynamics of benefit
##
## AVERAGE TOTAL BENEFIT:
## 8968.636779419998
##
## AVERAGE BENEFIT:
## [:]Average benefit
## Warning: closing unused connection 6 (code.version)
Average benefit change per unit of time
Link distribution
Processes per agent
| eventsPerAgent | |
|---|---|
| originalChallenges | 44.00 |
| challenged | 1287.04 |
| interpreted | 1284.20 |
| buffered | 830.63 |
| processed | 296.19 |
| penalized | 1284.20 |
| benefitted | 296.19 |
| forgot | 423.17 |
| reinterpreted | 296.19 |
Distribution of original challenges
## The number of original challenges in the simulation: 6600
Distribution of all challenges
## Total number of all challenges in the simulation: 193056
Distribution of processed challenges
## Total number of all processed challenges in the simulation: 44428
Degree distribution
## Total number of outDegrees: 3086
Link weights
The number of links between agents in the graph: 3086; The average degree 1.03); The average link weight is 52.52.
## 1% 10% 20% 30% 50% 70%
## -68.504145 -19.545150 -8.694441 -4.949831 -0.500361 29.568628
## 90% 99%
## 213.247544 577.6204740.5625405 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows the distribution:
Full simulation parameters
## $pathOnDisk
## [1] "/media/data/challprop-working/eln/"
##
## $generateTestDataOnDisk
## [1] "false"
##
## $tempConfigFile
## [1] "/media/challprop-working/temp/challprop.conf"
##
## $test
## [1] "false"
##
## $graphDatabase
## [1] "TitanCassandraLocal"
##
## $gephiVisualization
## [1] "false"
##
## $useDatabaseOfVectors
## [1] "true"
##
## $useDatabaseOfMatrixes
## [1] "true"
##
## $penaltyCalculatedOnlyOnce
## [1] "true"
##
## $rivalComponents
## [1] "[0, 1, 2, 3, 4]"
##
## $cstSituation
## [1] "0.05"
##
## $densityVectorSituation
## [1] "0.25"
##
## $percnegSituation
## [1] "0.2"
##
## $exponentSituation
## [1] "2"
##
## $numberOfAgents
## [1] "150"
##
## $decayFactor
## [1] "1"
##
## $decayRate
## [1] "0.03"
##
## $reciprocityRate
## [1] "0.2"
##
## $linkToGodWeight
## [1] "1.0"
##
## $weightImportance
## [1] "0.2"
##
## $believe
## [1] "0.15"
##
## $propagateRate
## [1] "0.4"
##
## $dimensions
## [1] "10"
##
## $densityMatrix
## [1] "0.5"
##
## $rfactor
## [1] "0.5"
##
## $numberOfCycles
## [1] "300"
##
## $learningRate
## [1] "0.5"
##
## $randomJump
## [1] "1"
##
## $propagationThreshold
## [1] "0"
##
## $disableRandomJump
## [1] "false"
##
## $maxBranchingFactor
## [1] "1000"
##
## $respectKnowsLinksWeights
## [1] "true"
##
## $bufferSize
## [1] "10"
##
## $ignoreNonRivalCorrection
## [1] "false"
##
## $cstNeed
## [1] "0.05"
##
## $densityVectorNeed
## [1] "0.5"
##
## $percnegNeed
## [1] "0.5"
##
## $exponentNeed
## [1] "2"
##
## $simulationStartWall
## [1] "20247982776414"
##
## $simulationStartCPU
## [1] "1148800491"
##
## $simulationFinishWall
## [1] "23999950414194"
##
## $simulationFinishCPU
## [1] "3156465314977"
##
## $archivingFinishedWall
## [1] "24161386932903"
##
## $archivingFinishedCPU
## [1] "3223939867214"
##
## $deletingCassandraWall
## [1] "24161404692518"
##
## $deletingCassandraCPU
## [1] "3223954881531"Experiment 7.19
Date: Sat Apr 16 02:35:29 2016
Analysis version (challprop-analytics): {analysis_commitNo}
Experiment version (challprop-experiments): d8fa5794
Codebase version (challprop-java): 64aa0a2b
(use git checkout $commit$ if needed)
Basic Statistics
These very roughly characterize what kind of data structure we get out of simulation.
##
## NUMBER OF VERTIXES:
## situation=2250
## benefitHolder=14630
## situationInst=16880
## agent=100
## god=1
##
## NUMBER OF EDGES:
## knowsLinks=2274
## challenged=67495
## interpreted=67220
## buffered=41561
## processed=14630
## reinterpreted=14630
## forgot=21132
##
## PERFORMANCE:
## Number of atomic events: 226668
## Total simulation time (secs): 792.8628022890
## Total simulation time (hours): 0.2202396673025
## Average time per atomic event (secs): 0.0034979036Dynamics of benefit
##
## AVERAGE TOTAL BENEFIT:
## 1777.2404486199998
##
## AVERAGE BENEFIT:
## [:]Average benefit
## Warning: closing unused connection 6 (code.version)
Average benefit change per unit of time
Link distribution
Processes per agent
| eventsPerAgent | |
|---|---|
| originalChallenges | 22.50 |
| challenged | 674.95 |
| interpreted | 672.20 |
| buffered | 415.61 |
| processed | 146.30 |
| penalized | 672.20 |
| benefitted | 146.30 |
| forgot | 211.32 |
| reinterpreted | 146.30 |
Distribution of original challenges
## The number of original challenges in the simulation: 2250
Distribution of all challenges
## Total number of all challenges in the simulation: 67495
Distribution of processed challenges
## Total number of all processed challenges in the simulation: 14630
Degree distribution
## Total number of outDegrees: 2274
Link weights
The number of links between agents in the graph: 2274; The average degree 0.76); The average link weight is 9.42.
## 1% 10% 20% 30% 50% 70%
## -52.4961252 -6.9732135 -2.2653732 -0.8448158 -0.0888650 6.9067737
## 90% 99%
## 47.7464332 125.50498040.5488127 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows the distribution:
Full simulation parameters
## $pathOnDisk
## [1] "/media/data/challprop-working/eln/"
##
## $generateTestDataOnDisk
## [1] "false"
##
## $tempConfigFile
## [1] "/media/challprop-working/temp/challprop.conf"
##
## $test
## [1] "false"
##
## $graphDatabase
## [1] "TitanCassandraLocal"
##
## $gephiVisualization
## [1] "false"
##
## $useDatabaseOfVectors
## [1] "true"
##
## $useDatabaseOfMatrixes
## [1] "true"
##
## $penaltyCalculatedOnlyOnce
## [1] "true"
##
## $rivalComponents
## [1] "[0, 1, 2, 3, 4]"
##
## $cstSituation
## [1] "0.05"
##
## $densityVectorSituation
## [1] "0.25"
##
## $percnegSituation
## [1] "0.2"
##
## $exponentSituation
## [1] "2"
##
## $numberOfAgents
## [1] "100"
##
## $decayFactor
## [1] "1"
##
## $decayRate
## [1] "0.03"
##
## $reciprocityRate
## [1] "0.2"
##
## $linkToGodWeight
## [1] "1.0"
##
## $weightImportance
## [1] "0.2"
##
## $believe
## [1] "0.15"
##
## $propagateRate
## [1] "0.4"
##
## $dimensions
## [1] "10"
##
## $densityMatrix
## [1] "0.5"
##
## $rfactor
## [1] "0.5"
##
## $numberOfCycles
## [1] "150"
##
## $learningRate
## [1] "0.3"
##
## $randomJump
## [1] "1"
##
## $propagationThreshold
## [1] "0"
##
## $disableRandomJump
## [1] "false"
##
## $maxBranchingFactor
## [1] "1000"
##
## $respectKnowsLinksWeights
## [1] "false"
##
## $bufferSize
## [1] "10"
##
## $ignoreNonRivalCorrection
## [1] "false"
##
## $cstNeed
## [1] "0.05"
##
## $densityVectorNeed
## [1] "0.5"
##
## $percnegNeed
## [1] "0.5"
##
## $exponentNeed
## [1] "2"
##
## $simulationStartWall
## [1] "22529897925532"
##
## $simulationStartCPU
## [1] "1077640495"
##
## $simulationFinishWall
## [1] "23322760727821"
##
## $simulationFinishCPU
## [1] "681318249147"
##
## $archivingFinishedWall
## [1] "23376440540279"
##
## $archivingFinishedCPU
## [1] "706176679124"
##
## $deletingCassandraWall
## [1] "23376454336129"
##
## $deletingCassandraCPU
## [1] "706190407096"Experiment 7.18
Date: Sat Apr 16 02:29:31 2016
Analysis version (challprop-analytics): {analysis_commitNo}
Experiment version (challprop-experiments): c5350ce3
Codebase version (challprop-java): 64aa0a2b
(use git checkout $commit$ if needed)
Basic Statistics
These very roughly characterize what kind of data structure we get out of simulation.
##
## NUMBER OF VERTIXES:
## situation=2250
## benefitHolder=14673
## situationInst=16923
## agent=100
## god=1
##
## NUMBER OF EDGES:
## knowsLinks=2420
## challenged=82153
## interpreted=81768
## buffered=49611
## processed=14673
## reinterpreted=14673
## forgot=29171
##
## PERFORMANCE:
## Number of atomic events: 272049
## Total simulation time (secs): 1009.4052706590
## Total simulation time (hours): 0.2803903530
## Average time per atomic event (secs): 0.0037103804Dynamics of benefit
##
## AVERAGE TOTAL BENEFIT:
## 872.0395882600001
##
## AVERAGE BENEFIT:
## [:]Average benefit
## Warning: closing unused connection 6 (code.version)
Average benefit change per unit of time
Link distribution
Processes per agent
| eventsPerAgent | |
|---|---|
| originalChallenges | 22.50 |
| challenged | 821.53 |
| interpreted | 817.68 |
| buffered | 496.11 |
| processed | 146.73 |
| penalized | 817.68 |
| benefitted | 146.73 |
| forgot | 291.71 |
| reinterpreted | 146.73 |
Distribution of original challenges
## The number of original challenges in the simulation: 2250
Distribution of all challenges
## Total number of all challenges in the simulation: 82153
Distribution of processed challenges
## Total number of all processed challenges in the simulation: 14673
Degree distribution
## Total number of outDegrees: 2420
Link weights
The number of links between agents in the graph: 2420; The average degree 0.81); The average link weight is 4.41.
## 1% 10% 20% 30% 50% 70%
## -77.326263 -46.640714 -35.997180 -22.909288 -6.559160 2.357094
## 90% 99%
## 63.417235 269.0599120.6822314 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows the distribution:
Full simulation parameters
## $pathOnDisk
## [1] "/media/data/challprop-working/eln/"
##
## $generateTestDataOnDisk
## [1] "false"
##
## $tempConfigFile
## [1] "/media/challprop-working/temp/challprop.conf"
##
## $test
## [1] "false"
##
## $graphDatabase
## [1] "TitanCassandraLocal"
##
## $gephiVisualization
## [1] "false"
##
## $useDatabaseOfVectors
## [1] "true"
##
## $useDatabaseOfMatrixes
## [1] "true"
##
## $penaltyCalculatedOnlyOnce
## [1] "false"
##
## $rivalComponents
## [1] "[0, 1, 2, 3, 4]"
##
## $cstSituation
## [1] "0.05"
##
## $densityVectorSituation
## [1] "0.25"
##
## $percnegSituation
## [1] "0.2"
##
## $exponentSituation
## [1] "2"
##
## $numberOfAgents
## [1] "100"
##
## $decayFactor
## [1] "1"
##
## $decayRate
## [1] "0.03"
##
## $reciprocityRate
## [1] "0.2"
##
## $linkToGodWeight
## [1] "1.0"
##
## $weightImportance
## [1] "0.2"
##
## $believe
## [1] "0.15"
##
## $propagateRate
## [1] "0.4"
##
## $dimensions
## [1] "10"
##
## $densityMatrix
## [1] "0.5"
##
## $rfactor
## [1] "0.5"
##
## $numberOfCycles
## [1] "150"
##
## $learningRate
## [1] "0.3"
##
## $randomJump
## [1] "50"
##
## $propagationThreshold
## [1] "0"
##
## $disableRandomJump
## [1] "false"
##
## $maxBranchingFactor
## [1] "1000"
##
## $respectKnowsLinksWeights
## [1] "true"
##
## $bufferSize
## [1] "10"
##
## $ignoreNonRivalCorrection
## [1] "false"
##
## $cstNeed
## [1] "0.05"
##
## $densityVectorNeed
## [1] "0.5"
##
## $percnegNeed
## [1] "0.5"
##
## $exponentNeed
## [1] "2"
##
## $simulationStartWall
## [1] "18347827052969"
##
## $simulationStartCPU
## [1] "1076830527"
##
## $simulationFinishWall
## [1] "19357232323628"
##
## $simulationFinishCPU
## [1] "885786355580"
##
## $archivingFinishedWall
## [1] "19421179057298"
##
## $archivingFinishedCPU
## [1] "913648925988"
##
## $deletingCassandraWall
## [1] "19421193703146"
##
## $deletingCassandraCPU
## [1] "913663534278"Experiment 6: Penalty Calculated Only Once Per Situation
Date: Thu Mar 17 15:37:54 2016
Analysis version (challprop-analytics): {analysis_commitNo}
Experiment version (challprop-experiments): 940d9ea7
Codebase version (challprop-java): c068ace4
(use git checkout $commit$ if needed)
Basic Statistics
These very roughly characterize what kind of data structure we get out of simulation.
##
## NUMBER OF VERTIXES:
## situation=11250
## benefitHolder=72566
## situationInst=83816
## agent=500
## god=1
##
## NUMBER OF EDGES:
## knowsLinks=6424
## challenged=207811
## interpreted=206966
## buffered=180683
## processed=72566
## reinterpreted=72566
## forgot=68411
##
## PERFORMANCE:
## Number of atomic events: 809003
## Total simulation time (secs): 21950.4182055690
## Total simulation time (hours): 6.0973383904
## Average time per atomic event (secs): 0.0271326784Dynamics of benefit
##
## AVERAGE TOTAL BENEFIT:
## 14915.543698186015
##
## AVERAGE BENEFIT:
## [:]Average benefit
## Warning: closing unused connection 6 (code.version)
Average benefit change per unit of time
Link distribution
Processes per agent
| eventsPerAgent | |
|---|---|
| originalChallenges | 22.50 |
| challenged | 415.62 |
| interpreted | 413.93 |
| buffered | 361.37 |
| processed | 145.13 |
| penalized | 22.50 |
| benefitted | 145.13 |
| forgot | 136.82 |
| reinterpreted | 145.13 |
Distribution of original challenges
## The number of original challenges in the simulation: 11250
Distribution of all challenges
Looks like normal distribution again. Note that is different from [Analysis 3/2](/blog/2014/12/26/analysis-3-slash-2-distribution-of-original-challenges/ where the average degree of an agent was much lower:
## Total number of all challenges in the simulation: 207811
Distribution of processed challenges
## Total number of all processed challenges in the simulation: 72566
Degree distribution
## Total number of outDegrees: 6424
Link weights
The number of links between agents in the graph: 6424; The average degree 2.14); The average link weight is 139.47.
## 1% 10% 20% 30% 50% 70% 90%
## 0.00001 0.00001 0.00001 0.00001 14.76612 141.36170 475.65542
## 99%
## 947.017380 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows that they are more or less normally distributed:
Full simulation parameters
## $pathOnDisk
## [1] "/media/data/challprop-working/eln/"
##
## $generateTestDataOnDisk
## [1] "false"
##
## $tempConfigFile
## [1] "/media/challprop-working/temp/challprop.conf"
##
## $test
## [1] "false"
##
## $graphDatabase
## [1] "TitanCassandraLocal"
##
## $gephiVisualization
## [1] "false"
##
## $useDatabaseOfVectors
## [1] "true"
##
## $useDatabaseOfMatrixes
## [1] "true"
##
## $penaltyCalculatedOnlyOnce
## [1] "true"
##
## $rivalComponents
## [1] "[0, 1, 2, 3, 4]"
##
## $cstSituation
## [1] "0.05"
##
## $densityVectorSituation
## [1] "0.25"
##
## $percnegSituation
## [1] "0.2"
##
## $exponentSituation
## [1] "2"
##
## $numberOfAgents
## [1] "500"
##
## $decayFactor
## [1] "1"
##
## $decayRate
## [1] "0.03"
##
## $reciprocityRate
## [1] "0.2"
##
## $linkToGodWeight
## [1] "1.0"
##
## $weightImportance
## [1] "0.2"
##
## $believe
## [1] "0.15"
##
## $propagateRate
## [1] "0.4"
##
## $dimensions
## [1] "10"
##
## $densityMatrix
## [1] "0.5"
##
## $rfactor
## [1] "0.5"
##
## $numberOfCycles
## [1] "150"
##
## $learningRate
## [1] "0.1"
##
## $randomJump
## [1] "1"
##
## $propagationThreshold
## [1] "0"
##
## $disableRandomJump
## [1] "false"
##
## $maxBranchingFactor
## [1] "1000"
##
## $respectKnowsLinksWeights
## [1] "false"
##
## $bufferSize
## [1] "10"
##
## $ignoreNonRivalCorrection
## [1] "false"
##
## $cstNeed
## [1] "0.05"
##
## $densityVectorNeed
## [1] "0.5"
##
## $percnegNeed
## [1] "0.5"
##
## $exponentNeed
## [1] "2"
##
## $simulationStartWall
## [1] "32572676938179"
##
## $simulationStartCPU
## [1] "1291377944"
##
## $simulationFinishWall
## [1] "54523095143748"
##
## $simulationFinishCPU
## [1] "21095450486165"
##
## $archivingFinishedWall
## [1] "54642774669714"
##
## $archivingFinishedCPU
## [1] "21148847051074"
##
## $deletingCassandraWall
## [1] "54642795209516"
##
## $deletingCassandraCPU
## [1] "21148864190015"Experiment 5: Less Agents in the Network
Date: Sat Mar 12 14:06:09 2016
Analysis version (challprop-analytics): {analysis_commitNo}
Experiment version (challprop-experiments): 2911856a
Codebase version (challprop-java): 77c6efd7
(use git checkout $commit$ if needed)
Basic Statistics
These very roughly characterize what kind of data structure we get out of simulation.
##
## NUMBER OF VERTIXES:
## situation=11250
## benefitHolder=73063
## situationInst=84313
## agent=500
## god=1
##
## NUMBER OF EDGES:
## knowsLinks=8622
## challenged=360144
## interpreted=358608
## buffered=229504
## processed=73063
## reinterpreted=73063
## forgot=116725
##
## PERFORMANCE:
## Number of atomic events: 1211107
## Total simulation time (secs): 7797.3883380440
## Total simulation time (hours): 2.1659412050
## Average time per atomic event (secs): 0.0064382324Dynamics of benefit
##
## AVERAGE TOTAL BENEFIT:
## 17533.421462008027
##
## AVERAGE BENEFIT:
## [:]Average benefit
## Warning: closing unused connection 6 (code.version)
Average benefit change per unit of time
Link distribution
Processes per agent
| eventsPerAgent | |
|---|---|
| originalChallenges | 22.50 |
| challenged | 720.29 |
| interpreted | 717.22 |
| buffered | 459.01 |
| processed | 146.13 |
| penalized | 717.22 |
| benefitted | 146.13 |
| forgot | 233.45 |
| reinterpreted | 146.13 |
Distribution of original challenges
## The number of original challenges in the simulation: 11250
Distribution of all challenges
Looks like normal distribution again. Note that is different from [Analysis 3/2](/blog/2014/12/26/analysis-3-slash-2-distribution-of-original-challenges/ where the average degree of an agent was much lower:
## Total number of all challenges in the simulation: 360144
Distribution of processed challenges
## Total number of all processed challenges in the simulation: 73063
Degree distribution
## Total number of outDegrees: 8622
Link weights
The number of links between agents in the graph: 8622; The average degree 2.87); The average link weight is 122.12.
## 1% 10% 20% 30% 50% 70%
## -70.017673 -37.782040 -14.650061 -1.533191 39.459057 128.027307
## 90% 99%
## 411.601103 942.0870810.3436558 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows that they are more or less normally distributed:
Full simulation parameters
## $pathOnDisk
## [1] "/media/data/challprop-working/eln/"
##
## $generateTestDataOnDisk
## [1] "false"
##
## $tempConfigFile
## [1] "/media/challprop-working/temp/challprop.conf"
##
## $test
## [1] "false"
##
## $graphDatabase
## [1] "TitanCassandraLocal"
##
## $gephiVisualization
## [1] "false"
##
## $useDatabaseOfVectors
## [1] "true"
##
## $useDatabaseOfMatrixes
## [1] "true"
##
## $rivalComponents
## [1] "[0, 1, 2, 3, 4]"
##
## $cstSituation
## [1] "0.05"
##
## $densityVectorSituation
## [1] "0.25"
##
## $percnegSituation
## [1] "0.2"
##
## $exponentSituation
## [1] "2"
##
## $numberOfAgents
## [1] "500"
##
## $decayFactor
## [1] "1"
##
## $decayRate
## [1] "0.03"
##
## $reciprocityRate
## [1] "0.2"
##
## $linkToGodWeight
## [1] "1.0"
##
## $weightImportance
## [1] "0.2"
##
## $believe
## [1] "0.15"
##
## $propagateRate
## [1] "0.4"
##
## $dimensions
## [1] "10"
##
## $densityMatrix
## [1] "0.5"
##
## $rfactor
## [1] "0.5"
##
## $numberOfCycles
## [1] "150"
##
## $newSituationsPerCycle
## [1] "5"
##
## $learningRate
## [1] "0.1"
##
## $randomJump
## [1] "1"
##
## $propagationThreshold
## [1] "0"
##
## $disableRandomJump
## [1] "false"
##
## $maxBranchingFactor
## [1] "1000"
##
## $respectKnowsLinksWeights
## [1] "false"
##
## $bufferSize
## [1] "10"
##
## $ignoreNonRivalCorrection
## [1] "false"
##
## $cstNeed
## [1] "0.05"
##
## $densityVectorNeed
## [1] "0.5"
##
## $percnegNeed
## [1] "0.5"
##
## $exponentNeed
## [1] "2"
##
## $simulationStartWall
## [1] "876386016069"
##
## $simulationStartCPU
## [1] "1197415854"
##
## $simulationFinishWall
## [1] "8673774354113"
##
## $simulationFinishCPU
## [1] "6714455343949"
##
## $archivingFinishedWall
## [1] "8957153230269"
##
## $archivingFinishedCPU
## [1] "6829430601420"
##
## $deletingCassandraWall
## [1] "8957167112575"
##
## $deletingCassandraCPU
## [1] "6829443668604"Analysis 4.4/4 Degree Distribution
Date: Wed Feb 11 18:27:39 2015
Analysis version (challprop-analytics): 25a25dd
(use git checkout $commit$ if needed)
## Total number of outDegrees: 990
Analysis 4.4/3: Link Weights
Date: Wed Feb 11 18:12:00 2015
Analysis version (challprop-analytics): ee7d453
(use git checkout $commit$ if needed)
First, the number of links between agents in the graph: 990. The graph is sparse (average degree 0.33) given that we have 3000 of agents. The average link weight is 8.12. 98% of all link weights are between -21 and 92:
## 1% 10% 20% 30% 50% 70%
## -21.1730335 -2.3335033 -0.3338948 0.1175692 1.8546510 4.9825556
## 90% 99%
## 17.9730976 92.26496340.269697 of all links have negative or zero weight. A density plot of 98% of link weights (i.e. between 21 and 92) shows that they are more or less normally distributed:
This shows that most of the links are positive but very small